New method for making graphene turns defects into improvements

Recent research has found a new way to make graphene that adds structural defects to improve the performance of the material ...

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
Frontiers

Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion

School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Previous studies on 10 kV cable intermediate joint defects have mainly focused on typical defect types and ...
Frontiers

Neutrosophic set-based defect detection method for CSP LED images

Chip scale package (CSP) light-emitting diode (LED) is miniaturized light-emitting diodes designed for automated chip-level packaging. Defect detection is particularly challenging due to the high ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
GitHub

Cone Detection Using Deep Learning for Formula Student Driverless

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...
IEEE

Surface Defect Detection Using SVM‐Based Machine Vision System with Optimized Feature

At present, most of the industries have adopted to automate different processes on their production. Therefore, monitoring of quality of raw material play a crucial role on the production of quality ...
C&EN

Advancing Atmospheric Detection of Weakly Absorbing Reactive Trace Gases Using the FY-3E/HIRAS-II TIR Sounder on a Dawn–Dusk Orbit

Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR 999077, China Guangdong-Hongkong-Macau Joint Laboratory of Collaborative ...
Interesting Engineering

Pore no more: US scientists develop real-time defect detection for 3D metal printing

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.